Large language models like GPT-4 are changing how we work with digital content. But you won’t unlock their real potential through chat alone.
This live, hands-on workshop shows you how to use the OpenAI API to go beyond the chat interface and build simple, practical tools using scripts. You’ll learn the basics of integrating LLMs into your workflows to solve real content problems.
Along the way, you’ll work on a common task content teams face — re-tagging pages across a large website — faster, more consistently, and with less manual effort.
If you work with large volumes of content — whether you’re planning it, auditing it, tagging it, or trying to make sense of it — this workshop is for you. You’ll learn how to use large language models (LLMs) to automate tedious tasks and streamline your workflows using OpenAI’s API and simple scripts.
Tagging, summarizing, restructuring, making inventories — it all takes time. LLMs can do the rote parts so you can focus on the strategic ones.
Working with content at scale is time-consuming. Essential tasks like audits can take days. This course helps you scale your process without scaling your team.
LLMs aren’t magic — but they are powerful. This workshop demystifies how to use them as real tools, not just chatbots.
Agile Defense
“Jorge’s AI Hands-On workshop was very informative and provided practical takeaways at both the tactical and strategic level as it relates to building out AI tools and understanding how to incorporate them into your workflow.”
Olkin Communications Consulting
“Jorge’s workshop increased my understanding of AI generally, and my confidence in selecting and working with AI tools in my daily practice as an information architect.”
Sarah Phares Design
“Jorge’s workshop provided a great introduction to working programmatically with LLMs for tasks at scale, and shaping prompts to improve responses. I've been able to put what I learned to use in a collaborative project with AI engineers to help bring focus to content quality beyond response/retrieval accuracy.”
Content
Over four sessions, you’ll move beyond the chat interface and learn to use GPT models programmatically, working hands-on to solve a real content challenge. Each session builds practical skills you can apply to your own projects.
Learn how large language models like GPT-4 work
Practice writing simple prompts using the chat interface
Set up your workspace to start scripting with GPT
Connect directly to GPT using OpenAI’s API
Use Python to run practical AI tasks outside the chat interface
Adjust key settings to shape how the model responds
Use GPT-4 to summarize content from a file
Refine a simple taxonomy using ChatGPT
Tag content using your improved taxonomy
Use GPT to tag multiple files at once
Generate structured output of your tagged content
Apply this process on your own content collection
Logistics
We’ll meet live on Zoom once a week for a 90-minute session.
Sessions meet on four subsequent Tuesdays from 8:00–9:30 AM U.S. Pacific (11:00 AM–2:30 PM ET / 16:00–17:30 GMT / 17:00–18:30 CET)
Each session combines a short demo, guided hands-on exercises, and plenty of time for questions.
You’ll get access to decks, code examples, and notebooks so you can follow along during the workshop and refer back to them later.
You’ll only need a modern web browser. (Google Chrome is recommended.) There’s nothing to install, and I’ll provide an OpenAI API key for you to use during the workshop.
Meet Your Instructor
I’m an information architect, author, and educator. For the past three decades, I’ve used architectural thinking to bring clarity to digital projects for clients ranging from non-profits to Fortune 500 companies.
I’m co-author of Information Architecture: for the Web and Beyond, author of Living in Information and Duly Noted, and host of The Informed Life podcast. Besides consulting, writing, and podcasting, I also teach at the California College of the Arts.